Data Repository associated with Latent Variable Modeling for the Microbiome
Abstract/Contents
- Abstract
This item contains data, fitted models, and model evaluation data associated with the study "Latent Variable Modeling for the Microbiome." Further, we include a docker image with all dependencies preinstalled, so that analysis can be easily replicated. See the README.md for directions on using the image. The code used to generating these results are available at the github link, and inside the docker image.
In addition to providing code for fitting models, our work describes ways to investigate modeling results, through relevant diagnostics and uncertainty assessments. Our experiments suggest that text modeling techniques can be a useful alternative to standard dimension-reduction methods when samples are collected with more complex dependence structure, as is often the case in microbiome data.
Description
Type of resource | software, multimedia |
---|---|
Date created | June 2017 |
Creators/Contributors
Author | Sankaran, Kris |
---|---|
Author | Holmes, Susan |
Subjects
Subject | microbiome |
---|---|
Subject | probabilistic modeling |
Subject | data analysis |
Subject | model evaluation |
Subject | data visualization |
Subject | statistics |
Subject | Department of Statistics |
Bibliographic information
Related Publication | Sankaran, Kris and Holmes, Susan. (2018). Latent Variable Modeling for the Microbiome. Biostatistics. https://doi.org/10.1093/biostatistics/kxy018 |
---|---|
Related item | |
Location | https://purl.stanford.edu/mf740kp2295 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Preferred citation
- Preferred Citation
- Sankaran, Kris and Holmes, Susan. (2017). Data Repository associated with Latent Variable Modeling for the Microbiome. Stanford Digital Repository. Available at: http://purl.stanford.edu/mf740kp2295
Collection
Reproducible Research Support for Statistics of the Microbiome
View other items in this collection in SearchWorksContact information
- Contact
- kriss1@stanford.edu
Also listed in
Loading usage metrics...